This research work presents the wind energy conversion system with maximum power tracking system using an expert system like fuzzy logic. The extraction of the maximum possible power available wind energy is an important area of research among the speed sensorless MPPT control of wind area. This paper presents a power point tracking (MPPT) Technique for high performance wind turbine with induct...

Novel induction motor speed sensorless torque control optimizing both torque response and efficiency is proposed. The control is quite different than the conventional field-oriented or direct torque control [1]. First, the produced torque is explicitly continuous output variable of control. Second, a new rotor flux observer, which allows speed sensorless operation of IM by low and zero speed, w...

Induction machines are more rugged, compact, cheap and reliable in comparison to other machines used in similar applications. Vector controlled induction motor drive outperforms the dc motor drive because of higher transient current capability, increased speed range and lower rotor inertia. Sensors widely used in electric drives degrade the reliability of the system especially in hostile enviro...

This paper presents a speed estimation method using neural networks (NN) in a vector controlled (VC) induction motor drive. The estimation algorithm is implemented using a Jordan recurrent NN structure where training of the NN is done online using back-propagation algorithm. Two back emf models are used in order to realize the reference and the adaptive models from which depending upon the spee...

In this paper a small scale wind generator based on a permanent magnet synchronous machine (PMSM) and associated with an indirect maximum power point tracking (MPPT) algorithm is proposed. Choosing an energy conversion active structure and a sensorless PMSM, to control the system, a speed estimator is required. Facing to other methods, the extended Kalman filter (EKF) model-based estimator allo...

This paper presents a hybrid sensorless control for an interior permanent magnet synchronous motor (IPMSM) for zero-, low-, and high-speed regions. Many sensorless control methods such as an observer-based estimator have been introduced. However, most of the observerbased estimators have a disadvantage at start-up and in the low-speed region. To solve this problem, a simple strategy of using a ...

Purpose – The purpose of this paper is to describe an effective method to eliminate or substantially reduce the modulation harmonics due to saturation and inter-modulation for sensorless speed control induction motor drives at low and zero speed with high loads using artificial neural networks (ANN). Design/methodology/approach – In this paper, the separation of the saturation signal, the slott...

This paper presents a Model Reference Adaptive System (MRAS) based speed sensorless estimation of vector controlled Induction Motor Drive. MRAS based techniques are one of the best methods to estimate the rotor speed due to its performance and straightforward stability approach. Depending on the type of tuning signal driving the adaptation mechanism, MRAS estimators are classified into rotor fl...

This paper presents a novel strategy for the vector control of IPMSM, without signal injection. The overall performance of the motion-sensorless control depends strongly on the accuracy of the rotor position and speed estimation. The proposed state observer is based on the concept of the “active flux” (or “torque producing flux”), which “turns all the salient–pole rotor ac machines into nonsali...